BackgroundOral chemolitholysis is a noninvasive therapy for uric acid (UA) stones. Proper patient selection is crucial for success of the therapy. ObjectiveTo develop a nomogram for prediction of UA stones using parameters gathered during emergency work-up for flank pain. Design, setting, and participantsA single-center cohort (459 patients) with singular ureteral stones and available stone analysis was retrospectively reviewed for radiological, urinary, and serological findings indicating UA stones. Outcome measurements and statistical analysisA Mann-Whitney U test or Kruskal-Wallis test was applied for univariate analysis. Categorical variables were compared using a χ2 test. Binary logistic regression of significant parameters was performed to design the nomogram. Results and limitationsUnivariate analysis revealed statistically significant differences in parameters between predominantly UA and non-UA groups, including median age (60 yr, interquartile range [IQR] 51.5–70.5 vs 51 yr, IQR 39–62; p < 0.001), body mass index (30.0 kg/m2, IQR 27.25–35.0 vs 26.6 kg/m2, IQR 24.0–30.467; p < 0.001), stone density (435.0 HU, IQR 329.0–528.0 vs 750.0 HU, IQR 548.0–995.0; p < 0.001), serum UA (437.5 μmol/l, IQR 374.25–478.0 vs 321.0 μmol/l, IQR 273.0–377.0; p < 0.001), and urine pH (5.5, IQR 5.0–5.5 vs 6.0, IQR 5.5–6.5; p < 0.001). Radiolucency was more frequent in the predominantly UA group (88.60% vs 32.70%; p < 0.001). Multivariate binary logistic regression confirmed age, body mass index, stone density, serum UA, urine pH, and radiolucency as independent predictors of UA stones and these parameters were used to design the nomogram. ConclusionsWe present a nomogram for the prediction of uric acid stones. Patient summaryWe developed a nomogram as a simple tool with potential to be useful in patient counseling regarding chemolitholysis as a tailored stone treatment for uric acid urinary stones.